54 lines
1.7 KiB
C++
54 lines
1.7 KiB
C++
//
|
|
// Created by DefTruth on 2021/3/14.
|
|
//
|
|
|
|
#ifndef LITE_AI_ORT_CV_YOLOV4_H
|
|
#define LITE_AI_ORT_CV_YOLOV4_H
|
|
|
|
#include "lite/ort/core/ort_core.h"
|
|
|
|
namespace ortcv
|
|
{
|
|
class LITE_EXPORTS YoloV4 : public BasicOrtHandler
|
|
{
|
|
public:
|
|
explicit YoloV4(const std::string &_onnx_path, unsigned int _num_threads = 1) :
|
|
BasicOrtHandler(_onnx_path, _num_threads)
|
|
{};
|
|
|
|
~YoloV4() override = default;
|
|
|
|
private:
|
|
static constexpr const float mean_val = 0.f;
|
|
static constexpr const float scale_val = 1.0 / 255.f;
|
|
const char *class_names[20] = {
|
|
"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow",
|
|
"diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa",
|
|
"train", "tvmonitor"
|
|
}; // voc 20 classes
|
|
enum NMS
|
|
{
|
|
HARD = 0, BLEND = 1, OFFSET = 2
|
|
};
|
|
static constexpr const unsigned int max_nms = 30000;
|
|
|
|
private:
|
|
Ort::Value transform(const cv::Mat &mat) override;
|
|
|
|
void generate_bboxes(std::vector<types::Boxf> &bbox_collection,
|
|
std::vector<Ort::Value> &output_tensors,
|
|
float score_threshold, float img_height,
|
|
float img_width); // rescale & exclude
|
|
void nms(std::vector<types::Boxf> &input, std::vector<types::Boxf> &output,
|
|
float iou_threshold, unsigned int topk, unsigned int nms_type);
|
|
|
|
public:
|
|
void detect(const cv::Mat &mat, std::vector<types::Boxf> &detected_boxes,
|
|
float score_threshold = 0.25f, float iou_threshold = 0.45f,
|
|
unsigned int topk = 100, unsigned int nms_type = NMS::OFFSET);
|
|
|
|
};
|
|
}
|
|
|
|
#endif //LITE_AI_ORT_CV_YOLOV4_H
|